Optimal Co2 Abatement in the Presence of Induced Technological Change

This paper explores the significance of policy-induced technological change for the design of carbon-abatement policies. We derive analytical expressions characterizing optimal CO2 abatement and carbon tax profiles under different specifications for the channels through which technological progress occurs. We consider both R&D-based and learning-by-doing-based knowledge accumulation, and examine each specification under both a cost-effectiveness and a benefit-cost policy criterion. We show analytically that the presence of induced technological change (ITC) implies a lower time profile of optimal carbon taxes. The impact of ITC on the optimal abatement path varies. When knowledge is gained through R&D investments, the presence of ITC justifies shifting some abatement from the present to the future. However, when knowledge is generated through learning-by-doing, the impact on the timing of abatement is analytically ambiguous. Illustrative numerical simulations indicate that the impact of ITC upon overall costs and optimal carbon taxes can be quite large in a cost-effectiveness setting but typically is much smaller under a benefit-cost policy criterion. The impact of ITC on the timing of abatement is very weak, and the effect (applicable in the benefit-cost case) on total abatement over time is generally small as well, especially when knowledge is accumulated via R&D.

[1]  James S. Dyer,et al.  Too Much of a Good Thing? , 1999, Oper. Res..

[2]  P. Romer.  Endogenous Technological Change , 1989, Journal of Political Economy.

[3]  Alistair Ulph,et al.  Global Warming, Irreversibility and Learning , 1997 .

[4]  Charles D. Kolstad,et al.  Learning and Stock Effects in Environmental Regulation: The Case of Greenhouse Gas Emissions , 1996 .

[5]  A. Manne,et al.  Buying Greenhouse Insurance: The Economic Costs of CO2 Emission Limits , 1992 .

[6]  William D. Nordhaus,et al.  Thinking About Carbon Dioxide: Theoretical and Empirical Aspects of Optimal Control Strategies , 1980 .

[7]  T. Teisberg,et al.  CETA: A Model for Carbon Emissions Trajectory Assessment , 1992 .

[8]  M. Porter,et al.  Toward a New Conception of the Environment-Competitiveness Relationship , 1995 .

[9]  J. Houghton.  Climate change 1994 : radiative forcing of climate change and an evaluation of the IPCC IS92 emission scenarios , 1995 .

[10]  Michael Grubb,et al.  Technologies, energy systems and the timing of CO2 emissions abatement: An overview of economic issues , 1997 .

[11]  R. Dickinson,et al.  Future global warming from atmospheric trace gases , 1986, Nature.

[12]  J. Edmonds,et al.  Economic and environmental choices in the stabilization of atmospheric CO2 concentrations , 1996, Nature.

[13]  Olli Tahvonen,et al.  GLOBAL CARBON CYCLE AND THE OPTIMAL TIME PATH OF A CARBON TAX , 1996 .

[14]  P. Sinclair.  On the Optimum Trend of Fossil Fuel Taxation , 1994 .

[15]  Stephen C. Peck,et al.  Optimal carbon emissions trajectories when damages depend on the rate or level of global warming , 1994 .

[16]  K. Hasselmann,et al.  Transport and storage of CO2 in the ocean ——an inorganic ocean-circulation carbon cycle model , 1987 .

[17]  W. Nordhaus.  Managing the Global Commons: The Economics of Climate Change , 1994 .

[18]  William D. Nordhaus,et al.  A Regional Dynamic General-Equilibrium Model of Alternative Climate-Change Strategies , 1996 .

[19]  R. Repetto.  The policy implications of non-convex environmental damages: A smog control case study , 1987 .

[20]  Stephen H. Schneider,et al.  Induced technological change and the attractiveness of CO2 abatement policies , 1999 .

[21]  Stephen C. Peck,et al.  Analytic Solutions of Simple Optimal Greenhouse Gas Emission Models , 1996 .

[22]  Y. H. Farzin.  Optimal pricing of environmental and natural resource use with stock externalities , 1996 .

[23]  A. Ulph,et al.  The Optimal Time Path of a Carbon Tax , 1994 .

[24]  William D. Nordhaus,et al.  How Fast Should We Graze the Global Commons , 1982 .